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paper.bib
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@article{Engwirda:2021,
title={'Unified' {laguerre-Power Meshes For Coupled Earth System Modelling}},
author={Engwirda, Darren and Liao, Chang},
journal={29th International Meshing Roundtable (IMR), Virtual Conference},
year = {2021},
doi = {10.5281/zenodo.5558988},
}
@article{Feng:2022,
author = {Feng, Dongyu and Tan, Zeli and Engwirda, Darren and
Liao, Chang and Xu, Donghui and Bisht, Gautam and
Zhou, Tian and Li, Hong-Yi and Leung, L Ruby},
journal = {Hydrology and Earth System Sciences},
number = {21},
pages = {5473--5491},
publisher = {Copernicus GmbH},
title = {{Investigating coastal backwater effects and flooding
in the coastal zone using a global river transport
model on an unstructured mesh}},
volume = {26},
year = {2022},
issn = {1027-5606},
doi = {10.5194/hess-26-5473-2022},
}
@article{Liao:2023a,
author = {Liao, Chang and Zhou, Tian and Xu, Donghui and Cooper, Matthew G. and Engwirda, Darren and Li, Hong-Yi and Leung, L. Ruby},
title = {{Topological} {Relationship}-{Based} {Flow} {Direction} {Modeling}: {Mesh}-{Independent} {River} {Networks} {Representation}},
journal = {Journal of Advances in Modeling Earth Systems},
volume = {15},
number = {2},
pages = {e2022MS003089},
keywords = {watershed, land-river-ocean interaction, flow direction, river network, unstructured mesh, graph theory},
doi = {10.1029/2022MS003089},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2022MS003089},
eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003089},
note = {e2022MS003089 2022MS003089},
abstract = {Abstract River networks are important features in surface hydrology. However, accurately representing river networks in spatially distributed hydrologic and Earth system models is often sensitive to the model's spatial resolution. Specifically, river networks are often misrepresented because of the mismatch between the model's spatial resolution and river network details, resulting in significant uncertainty in the projected flow direction. In this study, we developed a topological relationship-based river network representation method for spatially distributed hydrologic models. This novel method uses (a) graph theory algorithms to simplify real-world vector-based river networks and assist in mesh generation; and (b) a topological relationship-based method to reconstruct conceptual river networks. The main advantages of our method are that (a) it combines the strengths of vector-based and DEM raster-based river network extraction methods; and (b) it is mesh-independent and can be applied to both structured and unstructured meshes. This method paves a path for advanced terrain analysis and hydrologic modeling across different scales.},
year = {2023}
}
@article{mizukami_2016_GMD,
title = {{{mizuRoute}} Version 1: {A River Network Routing Tool for a Continental Domain Water Resources Applications}},
shorttitle = {{{mizuRoute}} Version 1},
author = {Mizukami, Naoki and Clark, Martyn P. and Sampson, Kevin and Nijssen, Bart and Mao, Yixin and McMillan, Hilary and Viger, Roland J. and Markstrom, Steve L. and Hay, Lauren E. and Woods, Ross and Arnold, Jeffrey R. and Brekke, Levi D.},
year = {2016},
month = jun,
journal = {Geoscientific Model Development},
volume = {9},
number = {6},
pages = {2223--2238},
publisher = {{Copernicus GmbH}},
issn = {1991-959X},
doi = {10.5194/gmd-9-2223-2016},
urldate = {2023-08-03},
langid = {english}
}
@article{Schwenk:2021,
doi = {10.21105/joss.02952},
url = {https://doi.org/10.21105/joss.02952},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {59},
pages = {2952},
author = {Jon Schwenk and Jayaram Hariharan},
title = {RivGraph: Automatic extraction and analysis of river and delta channel network topology},
journal = {Journal of Open Source Software}
}
@techreport{Esri:2011,
title = {Arc {Hydro} {Tools} - {Tutorial} [{Software}]},
author = {{Esri Water Resources Team}},
year = {2011},
}
@article{Wu:2012,
author = {Wu, Huan and Kimball, John S. and Li, Hongyi and Huang, Maoyi and Leung, L. Ruby and Adler, Robert F.},
title = {A new global river network database for macroscale hydrologic modeling},
journal = {Water Resources Research},
volume = {48},
number = {9},
pages = {},
keywords = {upscaling, DRT, river network, hydrography},
doi = {10.1029/2012WR012313},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2012WR012313},
eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2012WR012313},
abstract = {Coarse-resolution (upscaled) river networks are critical inputs for runoff routing in macroscale hydrologic models. Recently, Wu et al. (2011) developed a hierarchical dominant river tracing (DRT) algorithm for automated extraction and spatial upscaling of river networks using fine-scale hydrography inputs. We applied the DRT algorithms using combined HydroSHEDS and HYDRO1k global fine-scale hydrography inputs and produced a new series of upscaled global river network data at multiple (1/16° to 2°) spatial resolutions. The new upscaled results are internally consistent and congruent with the baseline fine-scale inputs and should facilitate improved regional to global scale hydrologic simulations.},
year = {2012}
}
@software{LiaoPyearth:2022,
author = {Chang Liao},
title = {{PyEarth: A lightweight Python package for Earth
science}},
month = mar,
year = 2022,
publisher = {Zenodo},
version = {0.1.20},
doi = {10.5281/zenodo.6109987},
url = {https://doi.org/10.5281/zenodo.6109987}
}
@article{Sahr:2011,
title={User documentation for discrete global grid generation software},
author={Sahr, K},
journal={Southern Oregon Univ., Ashland, OR, USA, Tech. Rep. Dggrid version},
volume={3},
year={2011}
}
@article{Liao:2023b,
author = {Liao, Chang and Zhou, Tian and Xu, Donghui and Tan, Zeli and Bisht, Gautam and Cooper, Matthew G. and Engwirda, Darren and Li, Hong-Yi and Leung, L. Ruby},
title = {{Topological Relationship-Based Flow Direction Modeling}: {Stream Burning and Depression Filling}},
journal = {Journal of Advances in Modeling Earth Systems},
volume = {15},
number = {11},
pages = {e2022MS003487},
keywords = {flow direction, depression filling, mesh independent, unstructured mesh, hydrology, flow routing},
doi = {10.1029/2022MS003487},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2022MS003487},
eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003487},
note = {e2022MS003487 2022MS003487},
abstract = {Abstract Flow direction modeling consists of (a) an accurate representation of the river network and (b) digital elevation model (DEM) processing to preserve characteristics with hydrological significance. In part 1 of our study, we presented a mesh-independent approach to representing river networks on different types of meshes. This follow-up part 2 study presents a novel DEM processing approach for flow direction modeling. This approach consists of (a) a topological relationship-based hybrid breaching-filling method to conduct stream burning for the river network and (b) a modified depression removal method for rivers and hillslopes. Our methods reduce modifications to surface elevations and provide a robust two-step procedure to remove local depressions in DEM. They are mesh-independent and can be applied to both structured and unstructured meshes. We applied our new methods with different model configurations to the Susquehanna River Basin. The results show that topological relationship-based stream burning and depression-filling methods can reproduce the correct river networks, providing high-quality flow direction and other characteristics for hydrologic and Earth system models.},
year = {2023}
}